Linear time-invariant system based assessment model for coronary heart disease

Zening Qu (1) , Yongqiang Lyu (1) , Yida Tang (2) , Wenyao Wang (2) , Zihan Wang (1) , Jiaming Hong (1) , Nazim Agoulmine (3)

1 Research Institute of Information Technology
2 Fuwai Hospital
3 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes

This study proposes a linear time-invariant (LTI) system based assessment approach for coronary heart disease (CHD) risk. Unlike traditional risk regression models, the new approach considers accumulated effects of CHD factors with time and can thus perform time-based simulation and real time assessment for the progression of coronary heart disease. There are several LTI-based models achieved in this study via black box system identification process on a 1,549-men cohort. These models have good fitting on the sample data and can adequately reproduce results of the current dominant risk models. Our findings verified that the LTI-based modeling approach works for time-based CHD assessment - such models can be used for time-based simulation and real time evaluation if sufficient sample data is observed.

Domaines: Réseaux et télécommunications [cs.NI]

Zening Qu, Yongqiang Lyu, Yida Tang, Wenyao Wang, Zihan Wang, et al.. Linear time-invariant system based assessment model for coronary heart disease. 15th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2013), Oct 2013, Lisbon, Portugal. pp.424--428, ⟨10.1109/HealthCom.2013.6720713⟩. ⟨hal-00954925⟩